Katharina Prasse

I'm a PhD student at the Data and Web Science Group at the University of Mannheim in Germany. I am supervised by Prof. Dr.-Ing. Margret Keuper Prior to this, I have been a researcher at the University of Siegen I have completed my master degree in Data Science at the University of Mannheim. For my Bachelor's degree, I have studied at the University College Roosevelt in the Netherlands. I have completed a liberal arts and science programm with majors in Psychology and Economics, and a minor in Statistics.

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Research

I'm interested in computer vision for real-world applications and explainable AI. I enjoy combining my research with my passion, i.e. climate change and bicycle infrastructure projects.

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ICML 2025

DCBM: Data-Efficient Visual Concept Bottleneck Models
Katharina Prasse*, Patrick Knab*, Sascha Marton, Christian Bartelt, Margret Keuper
International Conference on Machine Learning (ICML), 2025
paper / code / website

A data-efficient approach for training visual concept bottleneck models that requires fewer labeled concept annotations while maintaining interpretability.
* equal contribution

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WACV 2025

I Spy with My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames
Katharina Prasse, Isaac Bravo, Stefanie Walter, Margret Keuper
Winter Conference on Applications of Computer Vision (WACV), 2025
paper / code

Applying minimum cost multicut to analyze visual frames in social media datasets, studying how climate change is depicted in online visual content.

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Sci. Comm. 2025

Global Dynamics of Climate Change Imagery: Emotional and Engagement Effects Across Visual Frames on Twitter/X
Isaac Bravo, Katharina Prasse, Stefanie Walter, Saffron O'Neill, Margret Keuper
Science Communication, 2025
paper

Analyzing how different visual frames of climate change imagery on Twitter/X affect emotional responses and user engagement across global audiences.

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Annals ICA 2026

Visualizing Climate Change in the Media: A Systematic Literature Review, Challenges, and Future Research
Isaac Bravo, Stefanie Walter, Katharina Prasse, Margret Keuper
Annals of the International Communication Association, 2026
paper

A systematic literature review of how climate change is visualized across media, identifying challenges and future research directions at the intersection of visual communication and computer vision.

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DAGM GCPR 2023

Local Spherical Harmonics Improve Skeleton-Based Hand Action Recognition
Katharina Prasse, Steffen Jung, Yue Zhou, Margret Keuper
Pattern Recognition: 45th DAGM German Conference (GCPR 2023), Springer 2024
paper

Incorporating local spherical harmonics representations into skeleton-based action recognition improves performance on fine-grained hand gesture classification tasks.

Towards Understanding Climate Change paper thumbnail

NeurIPS WS 2023

Towards Understanding Climate Change Perceptions: A Social Media Dataset
Katharina Prasse, Steffen Jung, Isaac Bravo, Stefanie Walter, Margret Keuper
NeurIPS Workshop on Tackling Climate Change with Machine Learning, 2023
paper

A curated social media dataset for studying how people perceive and communicate climate change visually, supporting interdisciplinary research in climate communication and computer vision.

Conference Presentations

DCBM: Data-Efficient Visual Concept Bottleneck Models
Katharina Prasse*, Patrick Knab*, Sascha Marton, Christian Bartelt, Margret Keuper
ICCV Workshop on Explainable Computer Vision (eXCV), Oct. 2025

DCBM: Data-Efficient Visual Concept Bottleneck Models
Katharina Prasse*, Patrick Knab*, Sascha Marton, Christian Bartelt, Margret Keuper
DAGM German Conference on Pattern Recognition (GCPR), Sep. 2025, Freiburg im Breisgau, Germany

DCBM: Data-Efficient Visual Concept Bottleneck Models
Katharina Prasse*, Patrick Knab*, Sascha Marton, Christian Bartelt, Margret Keuper
CVPR Workshop on Explainable AI for Computer Vision (XAI4CV), Jun. 2025

Automated image understanding in the context of climate change
Katharina Prasse, Isaac Bravo, Stefanie Walter, Margret Keuper
Panel on Climate Visual Analysis, Computational Visual Media Research (CVMR), Aug. 2025, Zurich, Switzerland

Detecting manipulated visuals: A computational approach in the climate change discourse
Isaac Bravo, Katharina Prasse, Stefanie Walter, Margret Keuper
Parallel Panel II: Climate and Health-related Science Communication, AISCICOMM, Jun. 2024, Zurich, Switzerland

* equal contribution

Invited Talks

DCBM: Data-Efficient Visual Concept Bottleneck Models
Reading Group of Isabel Valera, Saarland University, Feb. 2026, Saarbrücken, Germany

Foundation models: Exploring opportunities and pitfalls
Climate Change Visuals Workshop, C3DS, University of Exeter, Jun. 2024, Exeter, United Kingdom

Teaching

Image Processing (CS647) tutor

Thesis supervision for Bachelor and Master students

Community Service

Co-Guest Editor. Special Issue on Computational Climate Visual Research in ViMe.

Reviewer at ML Conferences e.g. NeurIPS, CVPR, ECCV, CCAI.

ML Reading Group Organizer. Data & Web Science Group, University of Mannheim.

GirlsDay Session Organizer. Hands-on session designed for children aged 12–17.

Template by Jon Barron. Leaf icons created by Pixel perfect - Flaticon. Photo credit: Joseline Weinberg.